[LLM] add memory stats to logger of trainer #8269
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PaddleNLP/paddlenlp/trainer/trainer.py Lines 1298 to 1310 in 87a92a0 下面有这个日志的 |
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May 24, 2024
* [XPU] llama add xpu support (#8282) * [XPU] llama add xpu support * fix * use try import * fix * refine * refine * refine * refine * update (#8399) * [LLM] Support fuse attention q, k, v weights (#8202) 1. add use-interface & fuse action 1.1. modify 1., code order 2. switch to name_mapping 3. solve tp branch 3.2 follow hui, handel qkv separately 3.3 handle pdparams 3.4 from torch 3.5 abandon low_cpu_mem_usage 3.6 solve shard branch * 3.6.1 solve shard branch after rebase develop * code clean * remove debug comment * Redefine fuse and split functions * Redefine fuse and split functions * comment and fix * update method * update QKV fuse and split * support fuse weights in multi-files * add precision compare * simplify function call * support use_fast_ffn * clean modeling and configuration * add test for gpt and opt * fix tp_actions get * add fast_ffn test * add Qwen2Moe * Revert "add Qwen2Moe" This reverts commit 113b883. * add test for split * update doc * update filter_dict_keys --------- Co-authored-by: Zii <ziangqin.baidu@gmail.com> * [LLM] Fix fuse or split with same key (#8378) * fix fuse or split with same key * fix * fix eps * update format * [LLM] add decay steps option for finetuning (#8251) * [LLM] add memory stats to logger of trainer (#8269) * [Distributed] fix lora (#8325) * [LLM] fix lora target modules on llama (#8372) * [Distributed] metric calculation supports tp logits (#8370) * Update model_utils.py * Update model_utils.py * Update model_utils.py --------- Co-authored-by: Jianbang Yang <yangjianbang112@gmail.com> Co-authored-by: DrownFish19 <DrownFish19@gmail.com> Co-authored-by: Zii <ziangqin.baidu@gmail.com> Co-authored-by: Tian <121000916+SylarTiaNII@users.noreply.github.com>
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Description
Add memory stats to logger of trainer for performance monitoring on CE.